Apparently NOAA grew rapidly in the previous few years [1], so was it underfunded by Obama?
[1] https://crsreports.congress.gov/product/pdf/IF/IF12406/3
Apparently NOAA grew rapidly in the previous few years [1], so was it underfunded by Obama?
[1] https://crsreports.congress.gov/product/pdf/IF/IF12406/3
[1] https://www.npr.org/2025/02/19/nx-s1-5302019/bird-flu-usda-f...
One might be able to make that case when just considering a single agency. However this is happening across many agencies. It is extremely unlikely that they would all be significantly overstaffed.
Another sign that this is not a legitimate effort at just getting rid of workers that aren't needed is that they aren't deciding who to fire based on merit. They are deciding based on who is easiest to fire procedurally.
I'd be surprised if it was not increasing, BTW, given the increasingly volatile climate we find ourselves in.
Or it implies headcount is not the only variable you can tune to increase efficiency.
https://www.vice.com/en/article/the-shutdown-is-weakening-ou... from January 11, 2019:
> The shutdown exacerbates a long-term problem within the NWS: it’s badly understaffed. According to the most recent Government Accountability Office report about the NWS, 11 percent of positions within the agency were vacant as of 2016. Then, last year, the Trump administration cut the agency’s budget an additional 8 percent and recommended cutting 355 jobs.
That report is from 2017 at https://www.gao.gov/assets/gao-17-364.pdf , which further cites a 2012 review by the National Academy of Sciences and a 2013 National Academy of Public Administration report.
I answered with an example of a previous complaint.
I take it then you did not read the report? It goes into details of why they were understaffed compared to what they were in 2012:
> Beginning in 2013, a series of events led to a hiring backlog at NWS. Specifically, in response to the 2013 federal budget sequestration, NOAA implemented an agency-wide hiring freeze.26 Because WFMO generally could not hire or replace departing employees during the freeze, the number of vacancies at NWS increased. According to WFMO officials, when the hiring freeze was lifted in 2014, demand for hiring across NOAA was high. Simultaneously, WFMO had experienced a high level of attrition during the freeze—in fiscal years 2013 and 2014, approximately 50 percent of WFMO staff handling hiring left the agency, according to a WFMO official—and therefore, WFMO could not keep pace with the hiring demand when the freeze was lifted.27 In fiscal year 2016, attrition at NWS outpaced WFMO’s hiring abilities. Over the course of the fiscal year, 191 staff left NWS, and WFMO hired 157 external candidates, according to WFMO data. Therefore, NWS’s hiring backlog increased. ...
> According to NOAA budget officials, an administrative spending cap has limited WFMO’s ability to increase its hiring activities to address the hiring demand ...
It also mentions some of the problems which have nothing to do with long-term research:
> However, taking these steps, according to managers and staff, at times led to their inability to complete other key tasks, such as providing severe weather information support to state and local emergency managers. ... managers in five operational units said that managers and staff worked overtime to cover forecasting shifts and ensure forecasts and warnings were issued.
Their approach is breathtakingly reckless.
It doesn't imply that. How could one possibly feel this is comparable to a numeric slider being adjusted, where everybody simply has an opinion about which number it should be at? For every single cut: What, specifically, is being cut? By how much? Which positions? How is the cut being executed? What's the ostensible reason/expected outcome? What's the actual motivation? Under what authority/process? What are the side effects? Are there other ways of improving the process besides cuts? Is the person doing it also mocking the people who they're firing?
People give a shit about a lot of things, and they don't need to have all these questions in their head explicitly to do so. Systems and human opinions aren't that simple - especially super-gigantic systems and the opinions of hundreds of millions of people.